library_name: transformers
license: apache-2.0
language:
- fr
- en
datasets:
- jpacifico/French-Alpaca-dataset-Instruct-110K
Model Card for Model ID
A 7B language model. Good in French.
Model Description
The French-Alpaca is a 7.24B params LLM model based on the Mistral-7B-Instruct-v0.2 foundation model,
fine-tuned from the original French-Alpaca-dataset entirely generated with OpenAI GPT-3.5-turbo.
French-Alpaca is a general model and can itself be finetuned to be specialized for specific use cases.
The fine-tuning method is inspired from https://crfm.stanford.edu/2023/03/13/alpaca.html
Usage & Test
#!pip install transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jpacifico/French-Alpaca-7B-Instruct-beta"
messages = [{"role": "user", "content": "Rédige un article sur la fin des vendanges dans le Mâconnais."}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=128, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
You can test French-Alpaca with this dedicated and compatible colab notebook (with free T4 GPU) :
https://github.com/jpacifico/French-Alpaca/blob/main/French_Alpaca_inference_test_colab.ipynb
This quantized GGUF version availabe is available here : https://huggingface.co/jpacifico/French-Alpaca-7B-Instruct-beta-GGUF
It can be used on a CPU device, compatible with llama.cpp and LM Studio (cf screenshot below).
Limitations
The French-Alpaca model is a quick demonstration that a base 7B model can be easily fine-tuned to specialize in a particular language. It does not have any moderation mechanisms.
- Developed by: Jonathan Pacifico, 2024
- Model type: LLM
- Language(s) (NLP): French
- License: Apache 2.0
- Finetuned from model: mistralai/Mistral-7B-Instruct-v0.2